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  1. NTU Theses and Dissertations Repository
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請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/90199
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor楊馥菱zh_TW
dc.contributor.advisorFu-Ling Yangen
dc.contributor.author易建宏zh_TW
dc.contributor.authorChien-Hung Yien
dc.date.accessioned2023-09-22T17:49:36Z-
dc.date.available2023-11-09-
dc.date.copyright2023-09-22-
dc.date.issued2023-
dc.date.submitted2023-08-13-
dc.identifier.citation[1] C. Ancey and P. Evesque, “Frictional-collisional regime for granular suspension flows down an inclined channel,” Physical Review E, vol. 62, no. 6, p. 8349, 2000.
[2] R. Artoni and A. Santomaso, “Effective wall slip in chutes and channels: experiments and discrete element simulations,” Granular Matter, vol. 16, no. 3, pp. 377–382, 2014.
[3] D. Hanes and D. Inman, “Observations of Rapidly Flowing Granular-Fluid Materials,” J. Fluid Mech., vol. 150, no. JAN, pp. 357–380, 1985, doi: 10.1017/S0022112085000167.
[4] S. Benyahia, M. Syamlal, and T. J. O’Brien, “Evaluation of boundary conditions used to model dilute, turbulent gas/solids flows in a pipe,” Powder Technol., vol. 156, no. 2–3, pp. 62–72, Aug. 2005, doi: 10.1016/j.powtec.2005.04.002.
[5] C. Loha, H. Chattopadhyay, and P. K. Chatterjee, “Euler-Euler CFD modeling of fluidized bed: Influence of specularity coefficient on hydrodynamic behavior,” Particuology, vol. 11, no. 6, pp. 673–680, Dec. 2013, doi: 10.1016/j.partic.2012.08.007.
[6] R. M. Nedderman, Statics and Kinematics of Granular Materials. Cambridge: Cambridge University Press, 1992. doi: 10.1017/CBO9780511600043.
[7] M. Sommerfeld and N. Huber, “Experimental analysis and modelling of particle-wall collisions,” International Journal of Multiphase Flow, vol. 25, no. 6, pp. 1457–1489, Sep. 1999, doi: 10.1016/S0301-9322(99)00047-6.
[8] Y.-T. Huang, “Dynamics and Rheology of Finite Dry Granular Mass in Avalanche down an Inclined Smooth Reservoir,” PhD Thesis, National Taiwan University, 2015. doi: 10.6342/ntu201601894.
[9] F.-L. Yang and Y.-T. Huang, “New aspects for friction coefficients of finite granular avalanche down a flat narrow reservoir,” Granular Matter, vol. 18, no. 4, p. 77, Nov. 2016, doi: 10.1007/s10035-016-0671-8.
[10] C.-C. Lin and F.-L. Yang, “A new image processing algorithm for three-dimensional angular velocity measurement and its application in a granular avalanche,” Advanced Powder Technology, vol. 29, no. 3, pp. 506–517, Mar. 2018, doi: 10.1016/j.apt.2018.02.004.
[11] B. Chaudhuri, A. Mehrotra, F. J. Muzzio, and M. S. Tomassone, “Cohesive effects in powder mixing in a tumbling blender,” Powder Technology, vol. 165, no. 2, pp. 105–114, Jul. 2006, doi: 10.1016/j.powtec.2006.04.001.
[12] D. V. Khakhar, A. V. Orpe, and S. K. Hajra, “Segregation of granular materials in rotating cylinders,” Physica A: Statistical Mechanics and its Applications, vol. 318, no. 1, pp. 129–136, Feb. 2003, doi: 10.1016/S0378-4371(02)01416-4.
[13] W. Losert and G. Kwon, “Transient and steady-state dynamics of granular shear flows,” Advs. Complex Syst., vol. 04, no. 04, pp. 369–377, Dec. 2001, doi: 10.1142/S021952590100022X.
[14] Y. Zhao, Y. Zhong, Y. He, and H. I. Schlaberg, “Boundary conditions for collisional granular flows of frictional and rotational particles at flat walls,” AIChE Journal, vol. 60, no. 12, pp. 4065–4075, 2014, doi: 10.1002/aic.14596.
[15] H.-Y. Luh, “Study of an Image-based Angular Velocity Measurement Technique for Its Use in Steady Inclined Granular Flows,” Master’s Thesis, National Taiwan University, 2019. doi: 10.6342/NTU201904049.
[16] S. C. Du Pont, P. Gondret, B. Perrin, and M. Rabaud, “Wall effects on granular heap stability,” Europhysics letters, vol. 61, no. 4, p. 492, 2003.
[17] N. Brodu, P. Richard, and R. Delannay, “Shallow granular flows down flat frictional channels: steady flows and longitudinal vortices,” Physical Review E, vol. 87, no. 2, p. 022202, 2013.
[18] R. Artoni and P. Richard, “Effective Wall Friction in Wall-Bounded 3D Dense Granular Flows,” Phys. Rev. Lett., vol. 115, no. 15, p. 158001, Oct. 2015, doi: 10.1103/PhysRevLett.115.158001.
[19] C.-C. Lin, R. Artoni, F.-L. Yang, and P. Richard, “Modelling the wall friction coefficient for a simple shear granular flow in view of the degradation mechanism,” Journal of Fluid Mechanics, 2023, doi: 10.1017/jfm.2023.556.
[20] C. S. Campbell, “Granular material flows – An overview,” Powder Technology, vol. 162, no. 3, pp. 208–229, Mar. 2006, doi: 10.1016/j.powtec.2005.12.008.
[21] Y.-T. Huang, F.-L. Yang, and S.-R. Lin, “Indirect measurement of μ(I) relation from finite granular avalanche down an inclined narrow reservoir of smooth bed,” Granular Matter, vol. 19, no. 3, p. 51, Jun. 2017, doi: 10.1007/s10035-017-0736-3.
[22] Z.-W. Xu, “Experimental Investigation of Effective Wall Friction Coefficient for Steady Dry Dense Granular Flows down a Rough Incline,” Master’s Thesis, National Taiwan University, 2017. doi: 10.6342/NTU201703660.
[23] R. M. Murray, Z. Li, and S. S. Sastry, A Mathematical Introduction to Robotic Manipulation, 1st ed. CRC Press, 2017. doi: 10.1201/9781315136370.
[24] J. B. Kuipers, Quaternions and rotation sequences: a primer with applications to orbits, aerospace, and virtual reality. Princeton university press, 1999.
[25] K. Shoemake, “Animating rotation with quaternion curves,” in Proceedings of the 12th annual conference on Computer graphics and interactive techniques, 1985, pp. 245–254.
[26] J. Solà, “Quaternion kinematics for the error-state Kalman filter.” arXiv, Nov. 03, 2017. Accessed: Mar. 20, 2023. [Online]. Available: http://arxiv.org/abs/1711.02508
[27] J. Suter, “Geometric Algebra Primer,” 2003. Accessed: Jul. 24, 2023. [Online]. Available: https://www.semanticscholar.org/paper/Geometric-Algebra-Primer-Suter/53cb5062e533706aeadfbd62a2d43fbe3754a007
[28] A. Cariow, G. Cariowa, and D. Majorkowska-Mech, “An algorithm for quaternion-based 3D rotation,” 2020, doi: 10.34768/AMCS-2020-0012.
[29] S. J. K. Pedersen, “Circular hough transform,” Aalborg University, Vision, Graphics, and Interactive Systems, vol. 123, no. 6, pp. 2–3, 2007.
[30] “Find circles using circular Hough transform - MATLAB imfindcircles.” https://www.mathworks.com/help/images/ref/imfindcircles.html (accessed Jul. 24, 2023).
[31] T. J. Atherton and D. J. Kerbyson, “Size invariant circle detection,” Image and Vision Computing, vol. 17, no. 11, pp. 795–803, Sep. 1999, doi: 10.1016/S0262-8856(98)00160-7.
[32] R. M. Haralick, “A Measure for Circularity of Digital Figures,” IEEE Trans. Syst., Man, Cybern., vol. SMC-4, no. 4, pp. 394–396, Jul. 1974, doi: 10.1109/TSMC.1974.5408463.
[33] I. Bucher, “Circle fit,” MATLAB Central File Exchange, Jun. 05, 2023. https://www.mathworks.com/matlabcentral/fileexchange/5557-circle-fit (accessed Jun. 05, 2023).
[34] N. A. Malik, Th. Dracos, and D. A. Papantoniou, “Particle tracking velocimetry in three-dimensional flows,” Experiments in Fluids, vol. 15, no. 4, pp. 279–294, Sep. 1993, doi: 10.1007/BF00223406.
[35] J. E. Dennis and R. B. Schnabel, Numerical Methods for Unconstrained Optimization and Nonlinear Equations. in Classics in Applied Mathematics. Society for Industrial and Applied Mathematics, 1996. doi: 10.1137/1.9781611971200.
[36] M. J. D. Powell, “Restart procedures for the conjugate gradient method,” Mathematical Programming, vol. 12, no. 1, pp. 241–254, Dec. 1977, doi: 10.1007/BF01593790.
[37] M. R. Hestenes and E. Stiefel, “Methods of Conjugate Gradients for Solving Linear Systems”.
[38] J. R. Shewchuk, “An introduction to the conjugate gradient method without the agonizing pain.” Carnegie-Mellon University. Department of Computer Science Pittsburgh, 1994.
[39] W. W. Hager and H. Zhang, “A survey of nonlinear conjugate gradient methods,” Pacific journal of Optimization, vol. 2, no. 1, pp. 35–58, 2006.
[40] R. Fletcher and C. M. Reeves, “Function minimization by conjugate gradients,” The Computer Journal, vol. 7, no. 2, pp. 149–154, Jan. 1964, doi: 10.1093/comjnl/7.2.149.
[41] R. Fletcher, Practical Methods of Optimization, 2nd ed. John Wiley & Sons, 2013.
[42] B. T. Polyak, “The conjugate gradient method in extremal problems,” USSR Computational Mathematics and Mathematical Physics, vol. 9, no. 4, pp. 94–112, 1969.
[43] M. J. Powell, “Nonconvex minimization calculations and the conjugate gradient method,” in Numerical Analysis: Proceedings of the 10th Biennial Conference held at Dundee, Scotland, June 28–July 1, 1983, Springer, 1984, pp. 122–141.
[44] D. Touati-Ahmed and C. Storey, “Efficient hybrid conjugate gradient techniques,” Journal of optimization theory and applications, vol. 64, pp. 379–397, 1990.
[45] Y. Liu and C. Storey, “Efficient generalized conjugate gradient algorithms, part 1: theory,” Journal of optimization theory and applications, vol. 69, pp. 129–137, 1991.
[46] Y. Dai and Y. Yuan, “An efficient hybrid conjugate gradient method for unconstrained optimization,” Annals of Operations Research, vol. 103, pp. 33–47, 2001.
[47] C.-C. Lin, “Cotinuum simulation method of dense granular flows and experimental evidence of a flow stress boundary condition [sic],” PhD Thesis, National Taiwan University, 2017. doi: 10.6342/NTU201704385.
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dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/90199-
dc.description.abstract本論文自行搭建位移平台,使用線性滑軌驅動裝有固定重量聚甲醛乾顆粒的圓管,使顆粒依控制速度運動,並在平台下方裝設有高速攝影機,同時觀察容器移動時之底部顆粒的運動狀態。透過霍夫轉換與粒子追蹤法處理運動過程中之照片得出顆粒與標記之空間狀態。此外我們應用四元數與共軛梯度法開發一新轉動演算法,結合顆粒與標記之空間資訊,可算出當下顆粒轉動速度。針對此新開發演算法,我們使用MATLAB軟體進行轉動模擬,考慮不同情境下之空間誤差,也比較不同演算法參數與起始值之誤差影響。為探討顆粒流中的物理量,我們使用空間平均分析,比較不同控制速度下之速度、轉動速度、顆粒溫度等分布。我們發現顆粒轉動比例隨控制速度上升而遞減,且顆粒角速度與顆粒溫度有負相關趨勢。我們亦發現轉動因子與移動速度除以顆粒溫度的根號有冪定律關係,與文獻中的實驗結果相似。zh_TW
dc.description.abstractThis study constructs a displacement platform that uses a linear stage to drive a circular tube filled with fixed-weight polyoxymethylene particles. The tube moves in a controlled-velocity and a high-speed camera positioned beneath the platform observes the motion of particles at the bottom of the tube. We perform Hough transformation and Particle tracking on the captured images to obtain the spatial information of particles and markers location. In addition, we employ quaternions and conjugate gradient method to develop a new rotational algorithm. Combining rotation algorithm with particles’ and markers’ location, we can calculate the instantaneous particle rotation speed. Through rotation simulations in MATLAB, we evaluate the limitation and usages of the newly developed rotation algorithm in terms of location errors, algorithm parameters and initialization. We use averaging box analysis in the granular flow field to determine the distribution of velocity, rotation velocity, and particle temperature. We find a negative relation between the rotation data percentage and controlled velocity, and a negative relation between the rotation speed and granular temperature. We also find that the dimensionless rotation index has a power-law correlation with the ratio of translational velocity to the square root of granular temperature, which is similar to the experimental result in the literature.en
dc.description.provenanceSubmitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-09-22T17:49:36Z
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dc.description.provenanceMade available in DSpace on 2023-09-22T17:49:36Z (GMT). No. of bitstreams: 0en
dc.description.tableofcontents誌謝 I
Abstract II
摘要 III
Contents IV
List of Figures VII
List of Tables XII
Nomenclature XIII
Chapter 1 Introduction 1
1.1 Granular flow 1
1.1.1 Boundary conditions 1
1.1.2 Flow configuration 5
1.2 Rotation and quaternion 6
1.2.1 Introduction to quaternions 6
1.2.2 Spatial rotation 8
1.2.3 Quaternion rotation formula 9
1.2.4 Spatial rotation in matrix form 11
Chapter 2 Experiment equipment 14
2.1 Experiment setup 14
2.1.1 Granular material 14
2.1.2 Experiment apparatus 15
2.2 Experiment procedure 18
Chapter 3 Image processing 19
3.1 Image preliminary manipulation 19
3.2 Circular Hough transformation 20
3.3 Determination of marker location 21
3.3.1 Grayscale criteria for marker 22
3.3.2 Geometric condition for markers 26
3.3.3 Marker center location algorithm 29
3.4 Error evaluation of radius and location 30
3.5 Tube speed and particle dynamics 33
3.5.1 Tube velocity 33
3.5.2 Sphere dynamics 35
3.6 Quaternion-based rotation algorithm 36
3.6.1 Conjugate gradient method 37
3.6.2 Implementation of quaternion algorithm 38
Chapter 4 Rotation algorithm validation 41
4.1 Simulation of rotation 41
4.2 Evaluation of rotation algorithm 43
4.3 Comparison of CG update parameters 50
4.4 Comparison of initializations of iteration 53
4.5 Discussions 57
Chapter 5 Experimental results 59
5.1 Bulk property analysis 59
5.2 Bulk translation 61
5.3 Bulk Rotation 64
5.3.1 Rotation data percentage 64
5.3.2 Rotation velocity 66
5.4 Rotation index 68
5.5 Granular temperature 72
Chapter 6 Conclusions and summary 76
References 78
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dc.language.isoen-
dc.subject角速度zh_TW
dc.subject四元數zh_TW
dc.subject顆粒流zh_TW
dc.subject顆粒轉動zh_TW
dc.subjectparticle rotationen
dc.subjectgranular flowen
dc.subjectquaternionen
dc.subjectrotation speeden
dc.title基於四元數之演算法在侷限顆粒流動之粒子旋轉研究zh_TW
dc.titleStudying Particle Rotation in a Confined Granular Material in Bulk Translation using a Quaternion-based Algorithmen
dc.typeThesis-
dc.date.schoolyear111-2-
dc.description.degree碩士-
dc.contributor.oralexamcommittee林正釧;張鈞棣zh_TW
dc.contributor.oralexamcommitteeCheng-Chuan Lin;Chun-Ti Changen
dc.subject.keyword顆粒流,顆粒轉動,四元數,角速度,zh_TW
dc.subject.keywordgranular flow,particle rotation,quaternion,rotation speed,en
dc.relation.page83-
dc.identifier.doi10.6342/NTU202303579-
dc.rights.note未授權-
dc.date.accepted2023-08-14-
dc.contributor.author-college工學院-
dc.contributor.author-dept機械工程學系-
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